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Signature of prognostic epithelial-mesenchymal transition related long noncoding RNAs (ERLs) in hepatocellular carcinoma.

ABSTRACT:

Abstract

Reliable biomarkers are of great significance for the treatment and diagnosis of hepatocellular carcinoma (HCC). This study identified potential prognostic epithelial-mesenchymal transition related lncRNAs (ERLs) by the cancer genome atlas (TCGA) database and bioinformatics.The differential expression of long noncoding RNA (lncRNA) was obtained by analyzing the lncRNA data of 370 HCC samples in TCGA. Then, Pearson correlation analysis was carried out with EMT related genes (ERGs) from molecular signatures database. Combined with the univariate Cox expression analysis of the total survival rate of hepatocellular carcinoma (HCC) patients, the prognostic ERLs were obtained. Then use "step" function to select the optimal combination of constructing multivariate Cox expression model. The expression levels of ERLs in HCC samples were verified by real-time quantitative polymerase chain reaction.Finally, we identified 5 prognostic ERLs (AC023157.3, AC099850.3, AL031985.3, AL365203.2, CYTOR). The model showed that these prognostic markers were reliable independent predictors of risk factors (P value <.0001, hazard ratio [HR] = 2.400, 95% confidence interval [CI] = 1.667-3.454 for OS). In the time-dependent receiver operating characteristic analysis, this prognostic marker is a good predictor of HCC survival (area under the curve of 1 year, 2 years, 3 years, and 5 years are 0.754, 0.720, 0.704, and 0.662 respectively). We analyzed the correlation of clinical characteristics of these prognostic markers, and the results show that this prognostic marker is an independent factor that can predict the prognosis of HCC more accurately. In addition, by matching with the Molecular Signatures Database, we obtained 18 ERLs, and then constructed the HCC prognosis model and clinical feature correlation analysis using 5 prognostic ERLs. The results show that these prognostic markers have reliable independent predictive value. Bioinformatics analysis showed that these prognostic markers were involved in the regulation of EMT and related functions of tumor occurrence and migration.Five prognostic types of ERLs identified in this study can be used as potential biomarkers to predict the prognosis of HCC.

SUBMITTER: Xu BH

PROVIDER: S-EPMC8322489 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The abnormal expression of long noncoding RNAs (lncRNAs) is associated with human carcinoma. The present study aimed to investigate the mechanisms underlying the function of lncRNA AK002107 in the progression of hepatocellular carcinoma (HCC). The differential expression of lncRNAs between HCC and paired nontumor tissues was identified using microarrays, and the correlation between the expression of lncRNA AK002107 and the clinical prognosis of HCC was analyzed. We investigated the role of lncRNA AK002107 in HCC tumor biology in vitro using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT), colony formation, and Matrigel invasion assays and in vivo by assessing the growth of xenografted HCC tumors. The potential microRNAs that interact with lncRNA AK002107 were identified using online tools and were verified using PCR and luciferase reporter assay. The levels of TGFBR1, E-cadherin, and vimentin were determined using western blot assays. We then further investigated the correlation between expression of lncRNA AK002107 with miR-140-5p and TGFBR1 expression in HCC tissues. The expression of lncRNA AK002107 is frequently upregulated in HCC samples and cell lines. Patients with HCC who have elevated lncRNA AK002107 expression exhibit poorer overall survival and disease-free survival. Silencing lncRNA AK002107 expression significantly inhibited HCC cell proliferation, colony formation, and invasion both in vitro and in vivo. Furthermore, lncRNA AK002107 directly binds to miR-140-5p and significantly inhibits miR-140-5p expression. The functions of lncRNA AK002107 in cell growth and tumor invasion are mediated via miR-140-5p. lncRNA AK002107 upregulated TGFBR1 expression and then induced epithelial-mesenchymal transition (EMT) by inhibiting miR-140-5p expression. The expression of lncRNA AK002107 inversely correlated with miR-140-5p expression and positively correlated with TGFBR1 expression in HCC tissues. In summary, lncRNA AK002107 functions as an oncogene in tumors by inhibiting miR-140-5p, targeting TGFBR1, and then inducing EMT. The lncRNA AK002107/miR-140-5p/TGFBR1/EMT regulatory network may be a valuable target for the development of novel diagnostic and treatment methods for HCC.

Project description:BackgroundTumor metastasis is one of the leading reasons of the dismal prognosis of hepatocellular carcinoma (HCC). Epithelial-mesenchymal transition (EMT) is closely associated with tumor metastasis including HCC. The purpose of this study is to construct and validate an EMT-related gene signature for predicting the prognosis of HCC patients.MethodsGene expression data of HCC patients was downloaded from The Cancer Genome Atlas (TCGA) database. Gene set enrichment analysis (GSEA) was performed to found the EMT-related gene sets which were obviously distinct between normal samples and paired HCC samples. Cox regression analysis was used to develop an EMT-related prognostic signature, and the performance of the signature was evaluated by Kaplan-Meier curves and time-dependent receiver operating characteristic (ROC) curves. A nomogram incorporating the independent predictors was established. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression levels of the hub genes in HCC cell lines, and the role of PDCD6 in the metastasis of HCC was determined by functional experiments.ResultsAn EMT-related 5-gene signature (PDCD6, TCOF1, TRIM28, EZH2 and FAM83D) was constructed using univariate and multivariate Cox regression analysis. Based on the signature, the HCC patients were classified into high- and low-risk groups, and patients in high-risk group had a poor prognosis. Time-dependent ROC and Cox regression analyses suggested that the signature could predict HCC prognosis exactly and independently. The predictive capacity of the signature was also validated in two external cohorts. GSEA results showed that many cancer-related signaling pathways such as PI3K/Akt/mTOR pathway and TGF-?/SMAD pathway were enriched in high-risk group. The result of qRT-PCR revealed that PDCD6, TCOF1 and FAM83D were highly expressed in HCC cancer cells. Among them, PDCD6 were found to promote cell migration and invasion.ConclusionThe EMT-related 5-gene signature can serve as a promising prognostic biomarker for HCC patients and may provide a novel mechanism of HCC metastasis.

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Signature of prognostic epithelial-mesenchymal transition related long noncoding RNAs (ERLs) in hepatocellular carcinoma.

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